“…Also, in PV power forecasting, they become popular due to easy-to-use implementation and acceptable performance. The most popular methods, according to [4], to predict PV power are Artificial Neural Networks (ANNs) [5], [6], [7] and Support Vector Regression (SVR) [8], [9], [10]. In spite of the good performance of proposed methods, the majority of them rely on weather predictions (solar irradiation prediction, air temperature prediction, cloud coverage, etc.).…”